1 to 10 of 705 Results
MS Excel Spreadsheet - 10.7 KB -
MD5: 48329bf1cfcea7077ba85259a70ea5fc
Climate change shocks to the agricultural sector applied to the no climate change productivity trend to be used in the CGE model. The productivities are after the climate changes under RCP4.5 and RCP8.5 are applied. |
MS Excel Spreadsheet - 11.6 KB -
MD5: 55cee08caf52cd08d12319930c470a27
General equilibrium counterfactual trade simulation of time to trade reduction for Africa. |
MS Excel Spreadsheet - 22.9 KB -
MD5: 3c96d26c279066dd2ff9c6a997413f75
Ad valorem tariff equivalents from the structural gravity model which can be used in future trade cost analysis. Results are at the disaggregated country level |
MS Excel Spreadsheet - 10.4 KB -
MD5: 5f0598597270d7ff6aa5c8e67c3c50b6
Ad valorem tariff equivalents from the structural gravity model which can be used in future trade cost analysis. Results are at the disaggregated country level |
Stata Syntax - 18.9 KB -
MD5: d50708d0e8bdc8004957d15c054e64b5
The STATA dofile to do all the analysis done in the econometrics analysis of the gravity model. |
Plain Text - 12.9 KB -
MD5: 5ae7f281d9f2bef61e1a4a4d452e6742
This README file documents the structure of the dataset, variable definitions, data sources, cleaning procedures, and instructions for replicating the analyses using the provided data and code. |
Dec 19, 2025 -
Data for modelling policy decisions to mitigate risk of emerging arboviral diseases under ecological change in Uganda
MS Excel Spreadsheet - 577.6 KB -
MD5: 5b4f135aa52f7e18b06cd34cfdd6dca5
Conditional probabilities of experts' decisions on preventive actions given policy options |
Dec 19, 2025 -
Data for modelling policy decisions to mitigate risk of emerging arboviral diseases under ecological change in Uganda
MS Excel Spreadsheet - 29.0 KB -
MD5: 7379d3c8487fe8b3cfeb6f7c4f43ca2d
Results of the analysis of Uganda's policies |
Dec 19, 2025 -
Data for modelling policy decisions to mitigate risk of emerging arboviral diseases under ecological change in Uganda
Plain Text - 6.2 KB -
MD5: ec68371c088ba9232299614deb18777e
Meta data file |
Jul 30, 2025 -
Bibliographic data for gender and ethnicity analysis
Comma Separated Values - 4.0 KB -
MD5: aad40fabcefb9c577fa1b3b98039e694
Description of variables |
